The results of abductive reasoning (reduced model priors) can be communicated to other agents as prior beliefs, provided all agents share the same model lexicon or hypothesis space.

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• What are the neuronal mechanisms by which prior beliefs from one agent's model are received and properly implemented by a naive agent (neuronal hermeneutics)?question0.797
  Open question about inter-agent communication beyond model-space assumption
• Nearly all of 64 simulated agents attain 100% performance at around the 10th trial when allowed to perform abductive Bayesian model reduction after each trial.finding0.793
  Group-level simulation result showing generalizability of BMR benefit across agents
• Active inference agents can learn their own reward function (prior preferences) by interacting with the environment, bypassing the need for an explicit reward signal.claim0.792
  Abstract and §3, preference learning section.
• If a dialogue agent is prompted with knowledge of its own LLM nature, it will enact a superposition of theories of selfhood, narrowing as conversation proceedshypothesis0.790
  Conditional prediction about how a well-informed dialogue agent would handle questions of personal identity
• An aha moment is necessarily subpersonal: one can never remember or articulate abductive reasoning at the level of the model being optimized, because optimizing a model is fundamentally different from modeling an optimization.claim0.788
  Philosophical implication of associating insight with model-level (not parameter-level) optimization
• The elimination of reward as a motivator of behavior with prior beliefs dissolves the tautology of reinforcement learning (rewards reinforce behaviors that secure rewards).claim0.786
  §4 Discussion.
• Once visible, the prior is eliminated via Bayesian model reduction resulting in a post-dual agent with unconstrained QRF deployments.claim0.786
  Formal description of the transition to post-duality.
• Can natural language explanations of activations generated through unsupervised reconstruction genuinely capture model cognition?question0.783
  Core research question motivating NLA development and validation through case studies and causal interventions.